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Convert formatting to use ruff instead of yapf + isort (#26247)

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Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
This commit is contained in:
Harry Mellor
2025-10-05 15:06:22 +01:00
committed by GitHub
parent 17edd8a807
commit d6953beb91
1508 changed files with 115244 additions and 94146 deletions
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35
tests/entrypoints/pooling/llm/test_score.py
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@@ -17,12 +17,14 @@ MODEL_NAME = "tomaarsen/Qwen3-Reranker-0.6B-seq-cls"
def llm():
# pytest caches the fixture so we use weakref.proxy to
# enable garbage collection
llm = LLM(model=MODEL_NAME,
max_num_batched_tokens=32768,
tensor_parallel_size=1,
gpu_memory_utilization=0.75,
enforce_eager=True,
seed=0)
llm = LLM(
model=MODEL_NAME,
max_num_batched_tokens=32768,
tensor_parallel_size=1,
gpu_memory_utilization=0.75,
enforce_eager=True,
seed=0,
)
yield weakref.proxy(llm)
@@ -33,7 +35,6 @@ def llm():
@pytest.mark.skip_global_cleanup
def test_pooling_params(llm: LLM):
def get_outputs(activation):
text_1 = "What is the capital of France?"
text_2 = "The capital of France is Paris."
@@ -42,18 +43,20 @@ def test_pooling_params(llm: LLM):
text_1,
text_2,
pooling_params=PoolingParams(activation=activation),
use_tqdm=False)
use_tqdm=False,
)
return torch.tensor([x.outputs.score for x in outputs])
default = get_outputs(activation=None)
w_activation = get_outputs(activation=True)
wo_activation = get_outputs(activation=False)
assert torch.allclose(default, w_activation,
atol=1e-2), "Default should use activation."
assert not torch.allclose(
w_activation, wo_activation,
atol=1e-2), "wo_activation should not use activation."
assert torch.allclose(
softmax(wo_activation), w_activation, atol=1e-2
), "w_activation should be close to activation(wo_activation)."
assert torch.allclose(default, w_activation, atol=1e-2), (
"Default should use activation."
)
assert not torch.allclose(w_activation, wo_activation, atol=1e-2), (
"wo_activation should not use activation."
)
assert torch.allclose(softmax(wo_activation), w_activation, atol=1e-2), (
"w_activation should be close to activation(wo_activation)."
)